Digital Product Owner

🏢 Summary: The role focuses on managing the end-to-end data product lifecycle, ensuring proper risk classification, control implementation, and final certification within a structured governance framework. It oversees intake-to-certification workflows, applies standardized risk-tiering methodologies, and validates compliance evidence. The position acts as a technical liaison between engineering and risk teams to ensure secure and compliant data product delivery. 🗂️ Requirements: Experience managing end-to-end data product lifecycle processes, Ability to apply standardized risk-tiering and classification methodologies, Experience conducting risk assessments and compliance evaluations, Ability to validate control implementation through evidence review, Experience with governance frameworks and structured methodologies, Ability to identify AI, cross-border, and data commercialization risk triggers, Experience maintaining classification or pattern libraries, Ability to translate technical classification logic into clear documentation 📃 Skills: RiskAssessment, DataGovernance, Compliance, DataClassification, AI, Documentation, ControlValidation, LifecycleManagement, PatternRecognition, Security, Audit 🏢 Description: The Activation Manager is the primary guardian of the end-to-end data product lifecycle within the DSO, overseeing the journey from initial intake to final certification. Acting as the first point of entry for data product teams, you will manage risk assessments, ensure rigorous classification, and validate that all necessary controls are effectively met. Key Responsibilities Pipeline Orchestration: Manage the full intake-to-certification workflow, ensuring every data product moves through the necessary security and compliance milestones. Risk & Classification: Apply standardized risk-tiering methodologies to categorize data products, identifying specific triggers for specialist reviews (e.g., AI, cross-border, or commercialization). Pattern Governance: Maintain and update the DSO pattern library, ensuring that classification artifacts are consistent and drive accurate control implementation. Certification & Validation: Conduct post-implementation reviews of evidence (attestations, documentation) to determine if control requirements have been satisfied, providing final certification decisions based on established procedures. Stakeholder Liaison: Serve as the strategic technical and procedural advisor for data product teams, bridging the gap between engineering and risk management. Core Competencies Methodological Rigor & Analysis Framework Adherence: Ability to execute tasks within a structured methodology consistently. You recognize when a project follows a standard pattern and possess the judgment to escalate outliers to the IDE Lead. Pattern Recognition: A sharp eye for "red flag" triggers—such as client data usage or AI integration—within complex intake documentation. Communication & Documentation Analytical Writing: Capacity to translate technical classification logic into clear, non-jargon narratives. Every conclusion must be traceable and understandable to stakeholders outside the DSO. Evidence Appraisal: Skilled in evaluating documentation against strict criteria. You don't just reject incomplete evidence; you provide constructive feedback on what is missing to reach compliance. Relationship Management Multi-level Coordination: Comfortable navigating a wide range of stakeholders, from senior executive sponsors to software engineers. You know how to balance diplomacy with the need for technical clarity. Consultative Posture: Focused on providing a "path to yes"—helping teams move faster with confidence rather than simply enforcing barriers.

🏢 Summary: Opportunity for a Data Product Owner to lead digital transformation and data product initiatives in a technologically evolving organization. The role bridges business and technology, managing backlogs, aligning stakeholders, and implementing Agile practices to drive impactful digital solutions. Focus is on structuring processes, delivering incremental value, and increasing data and digital maturity. 🗂️ Requirements: Experience as Product Owner, Data Product Owner, Business Analyst or similar role, Experience in digital transformation initiatives, Knowledge of Agile methodologies (Scrum, Kanban), Practical experience with Jira and Confluence, Experience managing backlogs and roadmaps, Knowledge of data, analytics and reporting, Understanding of systems, integrations and digital processes, Ability to define and document functional requirements 📃 Skills: Agile, Scrum, Kanban, Jira, Confluence, SQL, PowerBI, Tableau, Analytics, Reporting 🏢 Description: Job Description — Data Product Owner / Digital Transformation Sobre a função Procuramos um(a) Data Product Owner para liderar iniciativas de transformação digital e evolução de produtos de dados numa organização em fase de modernização tecnológica. Esta pessoa será responsável por criar a ponte entre negócio e tecnologia, ajudando a estruturar processos, definir prioridades, introduzir práticas agile e acelerar a adoção de ferramentas e formas de trabalho mais digitais. Não procuramos apenas alguém técnico — procuramos alguém pragmático, orientado a impacto e confortável em ambientes com baixa maturidade tecnológica e elevada ambiguidade. Responsabilidades Liderar iniciativas de transformação digital e produtos de dados Trabalhar com stakeholders de diferentes áreas para identificar necessidades e oportunidades Definir, organizar e gerir backlog de iniciativas Traduzir requisitos de negócio em user stories e entregáveis claros Coordenar equipas técnicas e funcionais garantindo alinhamento e execução Introduzir e consolidar práticas Agile/Scrum/Kanban Estruturar documentação funcional e operacional em Jira e Confluence Priorizar iniciativas com foco em impacto de negócio e adoção Identificar oportunidades de automação, digitalização e melhoria de processos Garantir entregas incrementais e acompanhamento de métricas de sucesso Apoiar a evolução da cultura digital da organização Perfil procurado Experiência Experiência prévia como Product Owner, Data Product Owner, Business Analyst ou funções similares Experiência em iniciativas de transformação digital Experiência em ambientes com múltiplos stakeholders e necessidade de gestão de mudança Experiência em contextos pouco maduros tecnologicamente será valorizada Competências técnicas Conhecimento de metodologias Agile (Scrum/Kanban) Experiência prática com Jira e Confluence Capacidade de gestão de backlog e roadmaps Conhecimentos de dados, analytics e reporting Boa compreensão de sistemas, integrações e processos digitais Conhecimentos de SQL, Power BI, Tableau ou ferramentas similares são valorizados Capacidade de documentação funcional e definição de requisitos Competências pessoais Excelente capacidade de comunicação Forte orientação para resolução de problemas Pragmatismo e capacidade de adaptação Boa gestão de stakeholders Capacidade de influência e alinhamento entre equipas Resiliência e autonomia Mentalidade hands-on e orientada a execução O que valorizamos Capacidade de simplificar complexidade Experiência em implementação de processos e formas de trabalho Capacidade de criar estrutura em ambientes em crescimento Interesse genuíno por transformação organizacional e digital Regime hibrido na Trofa (Porto), idealmente semanal, contudo com possibilidade de ser alguém de Lisboa disponível para se deslocar.

🏢 Summary: The role involves full ownership of software products, covering architecture design, development, deployment, and maintenance within distributed systems. It focuses on building RESTful microservices, automation tools, and modular components to industrialize asset management processes. The position also ensures system integration, cloud-native deployment, and ongoing optimization in a DevOps environment. 🗂️ Requirements: Advanced proficiency in Python, Experience building RESTful microservices, Experience with ETL data processing, Basic knowledge of Java, Foundational understanding of Spring Boot, Proficiency in PostgreSQL design and optimization, Familiarity with S3 or NAS storage, Experience with Kubernetes and Docker, Experience with CI/CD pipelines, Working knowledge of Linux environments 📃 Skills: Python, Java, Spring, PostgreSQL, S3, NAS, Kubernetes, Docker, Jenkins, BitBucket, Linux, ETL, REST 🏢 Description: Key Responsibilities: End-to-End Product Ownership: Manages the full software lifecycle, from initial concept and architecture design to production release and maintenance. Workflow Automation: Develops internal tools to automate data collection, remediation, and reporting to industrialize asset management processes. Modular Development: Delivers independent, high-quality software modules through iterative cycles of coding, testing, and documentation. System Integration: Ensures seamless integration and maintenance of applications within complex, distributed infrastructures. Technical Collaboration: Works closely with architects and product owners to define technical solutions and security standards. Technical Requirements: Python Expertise: Advanced proficiency in Python for building RESTful microservices, automation scripts, and ETL data processing. Basic Java Knowledge: Foundational understanding of Java and Spring Boot to support existing backend components and minor maintenance tasks. Data & Storage: Proficiency in PostgreSQL (design and optimization) and familiarity with S3 or NAS storage solutions. Cloud & DevOps: Familiarity with Kubernetes, Docker, and CI/CD pipelines (Jenkins, BitBucket) within a Linux environment.

🏢 Summary: The role involves owning and developing Microsoft Dynamics 365 within a defined business process area, combining Product Owner and Business Analyst responsibilities. The position focuses on prioritizing the D365 roadmap, managing the backlog, and translating business needs into functional solutions within an ERP environment. It requires close collaboration with stakeholders and development teams to deliver standardized, scalable solutions aligned with business objectives. 🗂️ Requirements: Proven experience as Product Owner or Business Analyst, Experience in ERP environments, Hands-on experience with Microsoft Dynamics 365, Experience in requirements management, Experience in process modeling, Experience working in agile environments, Understanding of end-to-end Order-to-Delivery processes, Knowledge of system architecture and integration principles, Ability to manage and prioritize product backlog, Experience in test planning and acceptance activities 📃 Skills: D365, Dynamics, ERP, Agile, Backlog, Requirements, BPMN, Integration, Architecture, KPIs, UserStories, Testing 🏢 Description: Description: Product Owner – D365 (with Business Analyst responsibilities) Scope: - Ownership of Microsoft Dynamics 365 (D365) within an assigned functional area (e.g., Order-to-Delivery) - Cross-functional collaboration with IT, business stakeholders, and external partners - Contribution to ways of working, standardization, and continuous improvement initiatives - Monitoring and follow-up of relevant KPIs linked to processes and system support About the role: The Product Owner – D365 is responsible for owning, prioritizing, and developing functionality within Microsoft Dynamics 365 (D365) for a defined process area. The role ensures that D365 solutions effectively support business needs, are standardized where applicable, and deliver measurable business value. This position combines strategic product ownership with hands-on Business Analyst responsibilities, bridging business requirements and technical delivery. Start: ASAP Length: 1 year probably longer Location: 3 days/week in Södertälje Key responsibilities: Product Ownership: - Own and manage the product vision and roadmap for D365 within the assigned domain - Ensure that development initiatives and changes align with business objectives and architectural principles - Prioritize and maintain the product backlog based on business value, risks, and dependencies - Define scope and make decisions on functional priorities - Act as the primary interface between business stakeholders and development teams - Ensure solutions are scalable and compliant with established standards Business Analyst Responsibilities: - Analyze and document current and future-state business processes - Elicit, structure, and document business requirements - Translate business needs into user stories and functional specifications - Facilitate workshops and requirements gathering sessions - Support solution design in collaboration with architects and development teams - Contribute to test planning, execution, and acceptance activities - Ensure traceability between requirements, delivered solutions, and business outcomes Required qualifications: Experience: - Proven experience as a Product Owner, Business Analyst, or in a similar role - Experience working within ERP environments - Hands-on experience with Microsoft Dynamics 365 - Experience in requirements management and process modeling - Experience working in agile environments Knowledge: - Strong understanding of end-to-end business processes, preferably within Order-to-Delivery - Good understanding of system architecture and integration principles - Ability to analyze data and track performance through KPIs Skills: - Strong analytical and structured approach to work - Excellent communication skills - Ability to prioritize effectively and make informed decisions - Strong stakeholder management capabilities Personal profile: - Structured and analytical mindset - Strong communication and interpersonal skills - Ability to prioritize and make decisions in a dynamic environment - Proven ability to manage and engage stakeholders effectively

🏢 Summary: Remote Digital Product Owner role focused on leading the development and scaling of a data-driven Lead Scoring and Pricing Management product for sales organizations. The position involves defining product vision, managing the full product lifecycle, and collaborating with data and engineering teams to deliver measurable business impact. The project runs until the end of 2026 with possible extension. 🗂️ Requirements: Proven experience as a Product Owner, Strong experience in sales management, digital, analytics, data products, or pricing solutions, Strong experience in data domain, Strong experience with Azure environment, Ability to manage product backlog and define user stories and acceptance criteria, Experience working with data scientists, data engineers, and MLOps teams, Very good command of English, EU citizenship and residence in Poland 📃 Skills: Azure, Data, Analytics, Pricing, MLOps, OKRs, Backlog, Discovery 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are looking for a product driven Digital Product Owner to lead the creation and scaling of the Lead Scoring product for Volvo Group. It’s a data‑driven product designed to help sales organizations identify, prioritize, and act on the most promising customer opportunities. Today, the product supports sales teams by ranking leads based on their likelihood to convert, using a combination of historical patterns, customer behavior, fleet signals, and market characteristics. This allows Sales Teams to focus their time on high‑value prospects, improving productivity and increasing sales conversion. Project information: Type of project: IT Services Office location: Warsaw Work model: 100% remote from Poland Budget: 120 - 140 PLN net/ h - b2b Project length: till the end of 2026 – possible to extend it Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP Project scope: Define a compelling product vision for Pricing Management grounded in customer insights, business objectives, and measurable outcomes Shape a multimarket strategy that supports discount governance, margin control, and pricing transparency Lead structured discovery with Sales, Pricing, Finance, and market teams to uncover pain points, validation needs, and value opportunities Formalize OKRs and success metrics for the product; establish quantitative and qualitative value measures Build an outcome oriented roadmap aligned with strategic dependencies like Discount Management and Demand Forecasting Apply product thinking to prioritize discovery experiments, MVP scope, and incremental delivery phases based on business impact. Own the end-to-end product backlog — initial discovery, defining clear user stories and acceptance criteria, continuously prioritizing based on customer value and business outcomes, and ensuring transparency to stakeholders Own the end-to-end lifecycle: discovery → MVP → scaling → adoption → lifecycle management Define guardrails for quality, data governance, security, and user experience Continuously collect feedback to evolve the product using a test and learn approach Lead your stable team of data scientists, data engineers, analysts, architects, and MLOps engineers Strong collaboration with external partners Work closely with the Tech Lead to ensure feasibility and solution integrity Competence demands: Proven experience as a Product Owner Strong experience in Sales management (digital, analytics, data products, or pricing solutions). Familiarity with pricing, discounting, revenue management, or financial modeling is a positive plus. Strong experience with Data domain and Azure environment. Strong storytelling and communication capabilities — able to align stakeholders and adapt communication to the different levels Very good command of English We offer: Remote working model Dynamic and innovation-driven engineering environment Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance

🏢 Summary: The role involves leading and executing digital transformation initiatives with a strong focus on AI-driven automation and data analytics to enhance operational efficiency and business growth. The position requires aligning digital strategy with business goals, overseeing multiple projects, and ensuring successful adoption of innovative technologies. The candidate will drive AI integration, automation strategies, and data-informed decision-making across the organization. 🗂️ Requirements: Bachelor’s degree in Computer Science, Business, Engineering or related field, Minimum 7 years of experience leading complex digital transformation projects, Proven experience with AI-driven automation and Generative AI, Strong data analytics and complex data interpretation skills, Deep understanding of digital technologies and SaaS platforms, Experience in leading cross-functional technical teams, Product management experience delivering measurable value, Knowledge of change management principles 📃 Skills: AI, GenerativeAI, Automation, DataAnalytics, SaaS, DigitalTransformation, ProductManagement, Agile, ProjectManagement, DataAnalysis 🏢 Description: Introduction & Summary The Digital Transformation Team Lead will be responsible for spearheading the implementation of innovative digital strategies to enhance operational efficiency and drive business growth through AI integration. The ideal candidate will possess extensive expertise in AI-driven transformation, automation strategy, and data analytics, ensuring effective alignment of solutions with business objectives. Main Responsibilities Lead the organization’s digital strategy, ensuring alignment with business goals and managing multiple projects simultaneously. Oversee the execution of digital transformation initiatives, providing direction and leadership. Facilitate the delivery of impactful digital solutions, ensuring clarity on problem definition and stakeholder alignment. Enhance customer journeys by leveraging AI technologies to improve both customer and employee experiences. Utilize data-driven insights to inform decision-making and foster a culture of data analytics. Drive operational execution, ensuring initiatives are delivered on time, within scope, and with measurable impact. Engage with stakeholders for support on digital transformation initiatives, ensuring transparent communication. Manage change effectively to facilitate the smooth adoption of digital solutions. Build cross-functional teams and foster a culture of innovation and collaboration. Mitigate risks associated with digital initiatives, ensuring project quality standards are met. Continuously evaluate emerging technologies to maintain a competitive edge. Key Requirements Bachelor's degree in a relevant field (e.g., Computer Science, Business, Engineering); a master's degree or relevant certifications are preferred. Minimum of 7 years of experience in leading complex digital transformation projects. Proven experience with AI-driven automation, including Generative AI. Strong analytical skills to interpret complex data and make informed decisions. Deep understanding of digital technologies and SaaS platforms. Demonstrated leadership in mentoring and building high-performing teams. Excellent product management capabilities to drive measurable value. Outstanding communication and negotiation skills. Proficiency in change management principles. Relevant certifications in project management or digital transformation are a plus. Nice to Have Experience in AI technologies and their strategic application in business. Knowledge of agile methodologies and principles. Strong stakeholder engagement experience in technical fields.

🏢 Summary: Strategic business-facing Data Owner role focused on governing and standardizing Sales & Commercial data across 38+ global markets. The position ensures commercial data quality, consistency, and proper usage to support data-driven decision-making, collaborating closely with regional teams and IT. It centers on defining data standards, governance rules, and aligning stakeholders rather than building technical infrastructure. 🗂️ Requirements: 5–8 years in commercial, sales operations, or business analytics in a multinational organization, Strong knowledge of commercial data (sales pipeline, revenue attribution, pricing, market share, KPIs), Experience defining data standards and driving cross-regional alignment, Hands-on experience with Salesforce or other CRM systems, Experience applying data governance frameworks at global scale, Ability to collaborate with business and technical stakeholders, English proficiency at B2–C1 level 📃 Skills: Salesforce, CRM, DataGovernance, DataQuality, DataStandards, DataCatalog, Alation, Collibra, Qlik, PowerBI, Looker, DataMesh 🏢 Description: Our customer is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. Through world-class science and innovative crop solutions, our team of experts in over 90 countries is working to transform how crops are grown. This is a strategic, business-facing role at the heart of how we are transforming the way the client manages and use commercial data. As we shift towards a more data-driven organisation, the Data Owner for the Sales & Commercial domain plays a critical role in ensuring that commercial data is trusted, well governed, and fit to power business decisions across 38+ markets globally. This role is primarily on the business side. You will not be expected to build or maintain data infrastructure — that is the responsibility of the IT and engineering teams who will support you. Your focus is on defining what good looks like for commercial data: the standards, the quality, the ownership, and the business rules that govern how data is created, used, and maintained across the organisation. You will sit within the Federated Governance Council alongside other Data Owners and work closely with the Data Product Hub Center of Excellence, regional commercial teams, and country-level data stewards to drive alignment and adoption of governance standards globally. Responsibilities Define and maintain data standards, definitions, and quality rules for the Sales & Commercial domain across all markets Act as the primary business decision-maker for your domain — governing data access, quality thresholds, and appropriate usage Work closely with Global, Regional, and Local Data Stewards to ensure governance standards are understood, adopted, and consistently applied at every level of the organisation Drive alignment on commercial data definitions across regions and business units, engaging with Subject Matter Experts (SMEs) to understand the intricacies of how commercial data is created and used in each market Apply governance frameworks and standards globally, adapting their implementation in collaboration with regional and country teams to reflect local realities without compromising global consistency Collaborate with the Technical Domain Lead and IT teams to ensure data products in the Data Product Hub accurately reflect business requirements Represent the Sales & Commercial domain in the Federated Governance Council, contributing to cross-domain decisions and standards Oversee data quality monitoring — ensuring issues are identified, escalated, and resolved with the right owners at the right level Lead the onboarding and continuous development of Regional Data Owners and Country Data Stewards within your domain Contribute to the Data Readiness Assessment (DRA) rollout, ensuring commercial data maturity is accurately measured, reported, and improved over time Support the broader data-driven transformation agenda by championing good data practices within the commercial organisation Qualifications 5 to 8 years of experience in a commercial, sales operations, or business analytics role within a large multinational organisation Strong understanding of commercial data — sales pipeline, revenue attribution, pricing, market share, and related KPIs Proven ability to define data standards and drive alignment across multiple business units, regions, and markets Experience working with Salesforce or another CRM tool as a business user, process owner, or domain expert — understanding how commercial data flows through the platform Comfortable applying governance frameworks and standards at a global scale, working collaboratively with regional and local teams to ensure adoption Strong stakeholder management and influencing skills — able to work effectively with both business leaders and technical teams English proficiency at B2 to C1 level — strong enough to lead discussions and workshops in an international environment Self-driven and structured — able to manage multiple workstreams across regions and keep progress visible to stakeholders Will be a plus: Exposure to data governance frameworks, data mesh, or federated governance models Familiarity with data catalogue or data quality tools such as Alation or Collibra Experience with BI tools such as Qlik, Power BI, or Looker Background in agriculture, crop protection, or FMCG Perks and Benefits: Flexible work schedule. Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract. Present on the occasion of birthday, wedding, child birth. E-learning accounts for Coursera, O'Relly, Udemy. Corporate language school.

🏢 Summary: Hands-on Technical Product Owner role within an analytics and reporting tribe, combining product delivery management with strong data expertise to deliver measurable data products. The position bridges business stakeholders and data engineering teams, translating requirements into scalable solutions on Azure-based data platforms. It focuses on SQL-driven data modelling, Power BI reporting, Python automation, and governance of enterprise data products. 🗂️ Requirements: Experience as Technical Product Owner or Technical Product Manager in complex multi-team environments, Proven on-time and on-budget delivery of data or analytics projects, Strong SQL expertise including data modelling and optimization, Experience building data models and reports with DAX and Power BI, Medium proficiency in Python for ETL, validation, or automation, Hands-on experience with Azure data platforms and Databricks, Experience with Azure DevOps or TFS and ServiceNow, Knowledge of SDLC, release and change management processes, Experience in Agile/Scrum environments, Fluent English 📃 Skills: SQL, DAX, PowerBI, Python, Databricks, Azure, AzureDevOps, TFS, ServiceNow, DataModeling, ETL, PowerBI, Scrum, SDLC 🏢 Description: Team Within IT Group Digital Capabilities division, our Analytics, Insights and Reporting Tribe supports the needs for advanced analytics and reporting from all the entities of the Euroclear Group. The team helps to transform data into insights and reports using techniques such as descriptive analysis, text mining, machine learning, process mining, network analytics, predictive modelling, AI etc. Scope of the tribe can be summarized as follows: Operating and managing the evolution of the Data & Analytics Platform (DAP) consisting out of a DataLake, the Group Data Warehouse and a new off-premise Operational Data Store aligned with new market evolutions. Key player in the AI CoE. Centre of Expertise for BI & Reporting. Provide project support and expertise to various business lines. Role requirements Acting as a hands‑on technical product owner for a business stream (Finance, Risk, IT, Compliance, HR) in the AIR (Analytical Insight & Reporting) Tribe. You’ll combine delivery management with data skills (data modelling, SQL/DAX/Power BI/Python) to turn business needs into measurable product outcomes and help us transition from product ownership to product management. The Technical Product owner is the bridge between the business stakeholders and Data Engineers to understand, define and prioritize business requirements in line with the defined business vision and strategy. As TPO, you define the demand aspect of initiatives which entails: translate the clients' needs to the language of Engineers who will be developing the solution in collaboration with the Architects defining the most optimal scope and solution to deliver projects focusing on the true client's demand creating and maintaining the product backlog, documenting and prioritizing requirements and ensuring alignment and understanding by the different business stakeholders of the scope evolution and solution Supporting the scrum team during the development and refinement sessions Plans, monitors and manages internal projects for initiation and scope Ensures project results meet requirements regarding solutions, schedule, cost and expected Business value Develops effective relationships with business units, divisions or groups of users Ensures required services are identified, developed and supported to the satisfaction of the business unit/division Actively contributes to the Customer Digital Experience strategy execution Prepares communications and makes presentations on product enhancements Profile: What you’ll do Quarterly planning: prepare/execute QBR & QP; align capacity, funding, priorities with portfolio. Business data analysis: capture requirements, map data flows, write SQL (mandatory), design DAX measures, build Power BI reports; automate checks with Python (medium proficiency). Delivery reporting: maintain dashboards and predictability status (PSR); integrate with ServiceNow/Azure DevOps. Stakeholder engagement: work daily with IT, Business, Operations, Sales, Product to clarify priorities and land outcomes. Ways of Working: streamline intake→delivery→release, define lean cadences/RACI/playbooks; champion the shift to product. Own data products: governance, cross‑tribe, dashboards/PSR, SDLC/IT controls. Required skills Product Management in complex, multi‑team environments; demonstrable on‑time, on‑budget delivery. Data stack: Databricks / Azure data plaforms. SQL — mandatory (data modelling, optimization, QA). DAX + Power BI — solid experience building robust, maintainable models/reports. Python — medium (ETL scripts, data validation, automation). Tooling: Azure DevOps/TFS,  ServiceNow, release/change processes; confident with audit/compliance. Business analysis: requirements, UAT support, data glossary/catalog contribution. Communication & leadership: crisp status, risk and dependency management; ability to influence across tribes and vendors. Additionally: Several years of experience in a similar role and/or as Technical Product Manager, ideally in the banking and/or financial services sector, with a focus on client communication and interaction channels. Excellent spoken and written English is required. Analytical, methodical and results oriented are key skills You are client focus and you have strong team spirit Strong inter-personal skills and good presentation skills Planning/organizational skills and autonomy: able to organize and prioritize Accomplish work by yourself Experience in Agile way of working #LI-MJ1 About Us Why join us Embark on your new adventure at Euroclear, and work at the heart of the global capital markets. We connect over 2,000 financial institutions across the globe. As an open and resilient infrastructure, we contribute to the stability of the financial markets. We help clients cut through complexity, lower costs, and mitigate risks of financial transactions. At Euroclear, we have the clear ambition to use our key role to facilitate and accelerate a sustainable global financial system. What We Offer: Work closely with inspiring, supportive and engaged colleagues from more than 80 different countries. Practice your talents in a highly professional international environment. Join a learning and development environment with an emphasis on knowledge sharing and training. Competitive salary and comprehensive benefits. Ways of working Find your own optimal balance within our hybrid working model, where you can connect at the office 8 days a month and also benefit from remote working. Great Place to Work for All We are committed to creating an inclusive culture that celebrates diversity and strives to be a Great Place to Work for All. All qualified applicants will be considered for employment, regardless of any aspect that makes them unique (including race, religion, national origin, gender, sexual orientation, age, marital status, pregnancy, disability, ...). If you need any specific accommodation due to disability or any other reason, you can let the recruiter know during your application process. Our values guide how we work together and shape our future: Our mission and values - Eurocleakkk

🏢 Summary: DevOps role focused on automating and managing Azure-based big data and analytics platforms, ensuring secure, stable, and efficient product lifecycle processes. The position involves Infrastructure as Code, deployment automation, security compliance, and support for Go-Live and migration activities in a hybrid Warsaw setup. 🗂️ Requirements: Extensive experience with Infrastructure as Code using Terraform, Strong proficiency in PowerShell, Hands-on experience with Azure DevOps, Practical experience with Azure PaaS and SaaS services, Experience with Azure Databricks, Experience with Azure Data Factory, Experience with Azure ML, Experience with Azure Event Hub, Experience with Azure SQL Server, Experience with Azure Data Lake, Experience with Azure Blob Storage, Experience with Power BI, Experience with Azure Search, Experience with Azure Cosmos DB, Strong knowledge of Azure networking and VNets, Understanding of Azure Active Directory, Knowledge of IT security standards and compliance, Ability to automate deployments in Azure, Experience with root cause analysis and bug fixing, Fluent business English 📃 Skills: Terraform, PowerShell, Azure, Databricks, DataFactory, AzureML, EventHub, SQLServer, DataLake, BlobStorage, PowerBI, AzureSearch, CosmosDB, VNets, AzureAD, IaC, DevOps, ServiceNow 🏢 Description: Rate: 145-164 pln/h on b2b Location: Hybrid from Warsaw (1 day per week form office) Summary: The DevOps role is crucial for coordinating the product life cycle of technologies within the team, focusing on automation and quality improvements for big data and analytics platforms. Main Responsibilities: Coordinate with program team for product lifecycle including design, implementation, security, release management, deployment. Automate deployment of Azure PaaS/SaaS services for big data and analytics. Validate configurations and ensure IT security compliance for platform stability. Enhance Managed BDAP Services and associated components. Conduct root cause analysis and bug fixing. Develop robust and efficient code. Manage Go-Live and migration scenarios. Create documentation for processes and systems. Facilitate knowledge transfer to Ops Second Level and Service Desk. Key Requirements: Extensive experience in Infrastructure as Code (IaC) using Terraform, PowerShell, Azure DevOps. Proficiency in multiple Azure services: Databricks, Data Factory, ML, Event Hub, SQL Server, Datalake, Blob Storage, Power BI, Azure Search, Cosmos DB. Strong Azure networking skills including VNets and architecture designs. Solid understanding of Azure Active Directory and integration per IT security standards. Commitment and flexibility in handling varied and complex tasks. Fluent in business English; German skills are a plus. Nice to Have: Experience in building ServiceNow Forms and Automation. Ability to adapt quickly to new technologies and processes. Strong analytical and problem-solving skills. A proactive and initiative-driven attitude. Customer-oriented mindset and collaborative skills.

🏢 Summary: The role focuses on managing end-to-end data management and dashboarding for Digital Reality applications, ensuring accurate reporting and operational performance monitoring. It involves developing KPIs, building Power BI dashboards, integrating systems, and automating processes using scripting and APIs. The position also supports system enhancements, compliance, documentation, and user training in a cross-functional environment. 🗂️ Requirements: MCA or Bachelor's degree in Computer Science or Electronics, 3–4 years of relevant experience in data management or application support, Proficiency in Python, Proficiency in HTML, Proficiency in MySQL, Expertise in Power BI including data modeling and DAX, Experience with scripting and APIs for automation, Knowledge of IT infrastructure and cloud systems, Strong analytical and problem-solving skills, Ability to document issues and provide technical documentation 📃 Skills: Python, HTML, MySQL, PowerBI, DAX, VSCode, APIs, Azure, DevOps, ServiceNow, ITIL 🏢 Description: Summary: This role focuses on managing the data and dashboards for Digital Reality applications. The primary goal is to ensure effective data management, system integration, and reporting for operational performance within the organization. Responsibilities: Manage end-to-end data management and dashboarding, ensuring accuracy and relevance. Develop KPIs and dashboards to monitor operations and user data effectively. Collaborate with cross-functional teams to streamline operations. Track technological advancements and suggest system enhancements. Ensure compliance with internal policies and industry standards. Document issues and propose resolutions to management. Provide training to users regarding systems and equipment. Analyze and refine processes to improve service delivery. Must Haves: MCA or Bachelor's degree in Computer Science or Electronics. 3-4 years of relevant experience. Proficiency in Python, HTML, MySQL, and tools like Visual Studio Code & Power BI. Expertise in Power BI, particularly in data modeling and DAX. Strong analytical and problem-solving skills. Knowledge of IT infrastructure and cloud systems. Experience in scripting and using APIs for automation. Excellent communication and documentation skills. Nice to Haves: Familiarity with Azure and DevOps. Knowledge of Service Now as a service management tool. ITIL v4 Certification. Other Details: Location: Not specified. Team Structure: Involves collaboration with cross-functional teams. Reporting Lines: Not specified; likely involves stakeholder interaction. Tools/Methodologies: Focus on Power BI and software development tools. Reason (Must Have): MCA or Bachelor's degree: Required to ensure a foundational understanding of computer science principles relevant to the data management tasks. 3-4 years experience: Ensures the candidate has enough hands-on experience dealing with the complexities involved in data management and application support. Python and Power BI Proficiency: Essential for developing effective dashboards and automating reporting processes, directly linking to KPIs and operational monitoring. Analytical skills: Critical for problem-solving within system integration and performance tracking responsibilities. Reason (Nice to Have): Knowledge of Azure & DevOps: Provides a competitive edge for managing cloud applications, enhancing operational performance and flexibility. Service Now knowledge: Beneficial for managing service requests and incidents, facilitating smoother operational support. ITIL Certification: Indicates an understanding of service management best practices, adding value to process improvement aligned with industry standards. Trust Score: Score: High Evidence: The description is clear, with detailed responsibilities and specific technologies outlined, allowing for effective candidate sourcing.Sourcing Guidance / Clarifications Needed:The job description provides good technical clarity for sourcing. Consider these potential recommendations to enhance the search: Recommendation: Look for candidates with experience in data analytics alongside Python and Power BI . Rationale: This combination is often necessary for roles focused on data-driven decision-making and system integration. Recommendation: Identify candidates from industries heavily investing in cloud technologies or software development . Rationale: These sectors likely have professionals with relevant skills and experience related to the cloud-based aspects of this role. Recommendation: Consider profiles with prior experience in IT service management roles. Rationale: These candidates will have familiarity with operational processes that align with managing SRs and incidents, enhancing overall performance in Digital Reality applications.